2. Theoretical Foundation 19 2.1 Modeling Knowledge Organization Systems
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Aalto University School of Science Department of Computer Science Semantic Computing Research Group Supervising professor Eero Hyvönen Thesis advisor Eero Hyvönen Preliminary examiners Professor Vagan Terziyan, University of Jyväskylä, Finland Professor Mathieu d'Aquin, National University of Ireland Galway, Ireland Opponent Professor Marcia Lei Zeng, Kent State University, United States Aalto University publication series DOCTORAL DISSERTATIONS 101/2017 © Jouni Tuominen ISBN 978-952-60-7456-6 (printed) ISBN 978-952-60-7455-9 (pdf) ISSN-L 1799-4934 ISSN 1799-4934 (printed) ISSN 1799-4942 (pdf) http://urn.fi/URN:ISBN:978-952-60-7455-9 Unigrafia Oy Helsinki 2017 Finland Abstract Aalto University, P.O. Box 11000, FI-00076 Aalto www.aalto.fi Author Jouni Tuominen Name of the doctoral dissertation Ontology Services for Knowledge Organization Systems Publisher School of Science Unit Department of Computer Science Series Aalto University publication series DOCTORAL DISSERTATIONS 101/2017 Field of research Knowledge Technology Manuscript submitted 12 March 2017 Date of the defence 16 June 2017 Permission to publish granted (date) 25 April 2017 Language English Monograph Article dissertation Essay dissertation Abstract Ontologies and other knowledge organization systems, such as controlled vocabularies, can be used to enhance the findability of information. By describing the contents of documents using a shared, harmonized terminology, information systems can provide efficient search and browsing functionalities for the contents. Explicit descriptive metadata aims to solve some of the prevailing issues in full text search in many search engines, including the processing of synonyms and homonyms. The use of ontologies as domain models enables the machine-processability of contents, semantic reasoning, information integration, and other intelligent ways of processing the data. The utilization of knowledge organization systems in content indexing and information retrieval can be facilitated by providing automated tools for their efficient use. This thesis studies and presents novel methods and systems for publishing and using knowledge organization systems as ontology services. The research is conducted by designing and evaluating prototype systems that support the use of ontologies in real-life use cases. The research follows the principles of the design science and action research methodologies. The presented ONKI system provides user interface components and application programming interfaces that can be integrated into external applications to enable ontology-based workflows. The features of the system are based on analyzing the needs of the main user groups of ontologies. The common functionalities identified in ontology-based workflows include concept search, browsing, and selection. The thesis presents the Linked Open Ontology cloud approach for managing and publishing a set of interlinked ontologies in an ontology service.